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- Fondazione Bruno Kessler
- University of Foggia
- ACN/Scuola Superiore Sant'Anna
- CNR
- Conservatorio di Musica G. Verdi di Milano
- Department / address Laboratorio Europeo Di Spettroscopie Non Lineari
- Istituto Italiano di Tecnologia
- Politecnico di Milano
- Università Degli Studi di Napoli Federico II
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Field
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and dynamic regulation for GPAI governance. Topic 2 - Encoding ethical principles in model alignment. Topic 3 – Improving risk awareness in the use of GPAI. Topic 4 – Countering the malicious use
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of practical guidance and dissemination outputs aimed at fostering responsible, transparent, and sustainable AI adoption. Where to apply Website https://phd.fbk.eu/calls/detail/governing-ai-in-practice
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to cases with low signal-to-noise ratio and low-power operation. A first research direction will focus on investigating innovative energy harvesting techniques aimed at powering sensors without the use
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activities, as well as the related healthcare activities in the field of Urology with particular reference to the physiopathology, diagnosis, clinical practice and surgical therapy of diseases
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decision support systems (DSS) allowing farmers to boost productivity, optimize resource use efficiency, and improve the quality of resources. For example, AI technologies are applied to plant and animal
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD aims at an innovative dialogue between practice and
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application of formal methods remains a challenge in practice, due to factors such as poor scalability, lack of automation, the interplay between computation and physical aspects, or the increasing complexity
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and bandwidth usage; iii) investigating how explainability and robustness can be maintained in compressed models deployed at the far edge, ensuring trustworthiness and reliability in real-world
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of faithfully reproducing the city behaviour through the use of advanced modelling, data science, and AI techniques. One of the key foreseen applications of Urban Digital Twins is to predict the evolution
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investigate the use of fault propagation models for the design of fault detection, isolation and recovery (FDIR) components. To this aim, fault propagation models will be extended with observability information